Web applications have become the backbone of businesses—from eCommerce platforms like Amazon to social networks like Facebook. Unlike traditional websites that simply present information, web apps let users interact, make transactions, or even collaborate in real-time. Whether you're a small startup looking to streamline operations or a large enterprise needing scalable solutions, web apps make it all happen. But how do you go from idea to execution?

Modern software testing now relies heavily on test automation, which helps teams produce reliable, error-free software more quickly and confidently.

A development environment is a crucial setup of tools, configurations, and processes that developers use to build, test, and deploy software. Whether it’s a local setup on a developer’s local machine or a remote cloud-based solution, a development environment’s primary goal is to provide a seamless space where code can be written, tested, and executed efficiently. It’s never been more important to have a streamlined setup of cloud and development environments.

Choosing the right testing framework can feel overwhelming—especially if you're new to Python testing. Pytest and Unittest are both excellent choices, but each shines in different scenarios. Let’s dive into the strengths of each to help you decide which framework suits your project best.

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. The solution is a data architecture that eliminates silos, and that’s where the data mesh vs. data fabric debate comes in. While both data architectures work to eliminate data silos, they differ in their approaches (more on that later).

In the first part of this series, we created a Django online shop with htmx. In this second part, we'll handle orders using Stripe.